Researchers at Dana-Farber have put together a data atlas that includes a range of genomic, transcriptomic, epigenetic, and clinical data from patients and healthy donors to try to understand familial WM.

In certain families, almost everyone develops Waldenström’s macroglobulinemia, a blood cancer, but no one has found a biological explanation for the increased risk.

The team is using machine learning to generate hypotheses in the hopes that they can develop better diagnostics and individualized therapies for the disease.

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